Go beyond grade books. My Learning Board's AI analyzes attendance, exam scores, assignments, and behavioral patterns to predict student outcomes, flag at-risk learners, and recommend targeted interventions — weeks before results are out.
Our AI combines 8+ data signals to build a complete picture of each student
Unit tests, mid-terms, finals — trends across terms
Daily attendance patterns and absence frequency
Submission rates, grades, and timeliness
Behavioral notes, participation scores, remarks
Improving, declining, or stagnating trajectories
Performance relative to class and section averages
Strong and weak subjects per student
Multi-year academic history for trend analysis
AI flags students showing early signs of academic decline — dropping scores, irregular attendance, incomplete assignments — 4-6 weeks before report cards.
Early Warning SystemPredicts expected scores for upcoming exams based on past performance, practice tests, and engagement metrics. Accuracy: 85-92%.
85-92% AccuracyAI generates specific, actionable recommendations for each student — extra coaching in weak topics, practice areas, and study techniques.
Per-Student InsightsCompare performance across classes, sections, and subjects. Identify which classes need support, which teachers are driving results.
Cross-Section ViewTrack performance trends over months, terms, and years. Spot improving and declining students, measure impact of interventions.
Multi-Term TrackingAuto-generate AI-enhanced parent reports with easy-to-read charts, strengths, areas for improvement, and specific home support suggestions.
Auto-GeneratedHow schools are using AI analytics to transform student outcomes
A CBSE school in Delhi used at-risk detection to identify 23 students in Class 10 who were likely to score below 50% in board exams. After targeted remedial classes:
An ICSE school compared teacher-level analytics across sections and found that one section consistently underperformed in Math despite similar student profiles.
A school in Bangalore shared AI-generated parent reports via WhatsApp with specific home-study recommendations per child.
Improvement in
Pass Rates
Early At-Risk
Detection
Prediction
Accuracy
More Parent
Engagement
Automatically pulls data from attendance, exams, assignments, and teacher records already in My Learning Board.
Machine learning models analyze patterns, correlations, and trends across all data points for every student.
Dashboard shows predictions, at-risk alerts, improvement trends, and personalized recommendations.
Teachers act on insights, parents receive reports, and the AI tracks whether interventions improve outcomes.
Join 500+ schools using data-driven insights to help every student succeed.